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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 3 days ago
members generating physiological, imaging, and experimental data to integrate findings across cellular, molecular, and functional levels. Your Profile Ph.D. in molecular biology, bioinformatics, systems
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data, depending on the expertise and experience of the candidate, possibly involving both wet lab and bioinformatics Communicating the results in scientific publications and conference presentation Co
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equipment · Data entry, managements, and summarization · Perform bioinformatic analysis using programming skills in computational biology. · Assist researchers with statistically valid data analysis and
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cell biology experiments (cell culture, transfection, genome editing, etc.) • Preparing libraries for high-throughput sequencing (RNA-seq, Nanopore sequencing, etc.) and using bioinformatics tools
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lymphoblastic leukemia (ALL). This will include RNA-sequencing of single leukemia cells, bioinformatic analysis of the data, follow-up analyses, and functional experiments. You will be responsible for executing
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of the yeast Saccharomyces cerevisiae model and human cells to study transcriptional and TCR activities of transposed Mediator variants using genomic approaches. A bioinformatic analysis of NGS data will help
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of functional genomic approaches (ATAC-seq, ChIP-seq, RNA-seq) and bioinformatic analyses as a model system. Where to apply Website http://www.ub.edu/caiac/solBeca?idConvocatoria=50322 Requirements
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Classification Title: Post Doc Associate Classification Minimum Requirements: Ph.D. degree in biomedical informatics/bioinformatics, computer science, data science, electronic/biomedical engineering
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Job related to staff position within a Research Infrastructure? No Offer Description Our Bioinformatics and Computational Pathology group at the Institute of Pathology, Erlangen, develops computational
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library preparation for sequencing. The role requires extensive work with bioinformatics tools to analyze biodiversity datasets, leveraging the wealth of historical and contemporary collections housed